About Python · A Byte of Python. Story behind the name Features of Python Simple Easy to Learn Free and Open Source High-level Language.

Introduction to Computer Science and Programming. Learn Python The Hard Way. Google Developers. Welcome to Google's Python Class -- this is a free class for people with a little bit of programming experience who want to learn Python.

The class includes written materials, lecture videos, and lots of code exercises to practice Python coding. These materials are used within Google to introduce Python to people who have just a little programming experience. The first exercises work on basic Python concepts like strings and lists, building up to the later exercises which are full programs dealing with text files, processes, and http connections.

The class is geared for people who have a little bit of programming experience in some language, enough to know what a "variable" or "if statement" is. Beyond that, you do not need to be an expert programmer to use this material. This material was created by Nick Parlante working in the engEDU group at Google.
The Hitchhiker’s Guide to Python!
Effective Python Programming. Improve Your Python: Python Classes and Object Oriented Programming.

The class is a fundamental building block in Python.

It is the underpinning for not only many popular programs and libraries, but the Python standard library as well. Understanding what classes are, when to use them, and how they can be useful is essential, and the goal of this article. In the process, we'll explore what the term Object-Oriented Programming means and how it ties together with Python classes. Everything Is An Object... What is the class keyword used for, exactly? What do we mean by "logical grouping"? Regardless, classes are a modeling technique; a way of thinking about programs. ..So Everything Has A Class? Classes can be thought of as blueprints for creating objects. Class Customer(object): """A customer of ABC Bank with a checking account. The class Customer(object) line does not create a new customer.

The jeff object, known as an instance, is the realized version of the Customerclass.
Improve Your Python: Python Classes and Object Oriented Programming. AI Materials. Python Basics Required Files You can download all of the files associated with the Python mini-tutorial as a zip archive: python_basics.zip.

If you did the unix tutorial in the previous tab, you've already downloaded and unzipped this file. Table of Contents. Overview. The Notebook is the place for all your needs Data Ingestion Data Discovery Data Analytics Data Visualization & Collaboration Multiple language backend Zeppelin interpreter concept allows any language/data-processing-backend to be plugged into Zeppelin.

Currently Zeppelin supports many interpreters such as Scala(with Apache Spark), Python(with Apache Spark), SparkSQL, Hive, Markdown and Shell.
District Data Labs - How to Develop Quality Python Code. How to Develop Quality Python Code Workflows and Development Tools Benjamin Bengfort Developing in Python is very different from developing in other languages.

Python is an interpreted language like Ruby or Perl, so developers are able to use read-evaluate-print loops (REPLs) to execute Python in real-time. This feature of Python means that it can be used for rapid development and prototyping because there is no build process. Python sits in the middle of these paradigms, providing the best of many worlds.

However, the breadth of Python means that there is no one workflow to developing with it, and certainly there is no standard IDE or environment framework to make these decisions on your behalf.
My virtualenv and virtualenv wrapper cheat sheet. I alias the commands of virtualenv and virtualenv wrapper for my own development environment.
Ben's VirtualEnv Cheatsheet This cheat sheet describes my usage/implementation of virtualenv with virtualenv wrapper and the bash foo that I added with the help of many blogs to make it all tick together in fun land.

Quick Reference $ echo $WORKON_HOME /Users/benjamin/.virtualenvs $ echo $PROJECT_HOME /Users/benjamin/Repos/git/ Commands All of the commands below are to be used on the Terminal Command line. venv List or change working virutal environments (alias workon) venv [environment_name] venv.exit. Python-reference/reference.py at master · justmarkham/python-reference. Python-reference/reference.py at master · justmarkham/python-reference. Designing a RESTful API with Python and Flask. In recent years REST (REpresentational State Transfer) has emerged as the standard architectural design for web services and web APIs.

In this article I'm going to show you how easy it is to create a RESTful web service using Python and the Flask microframework. What is REST? The characteristics of a REST system are defined by six design rules: Client-Server: There should be a separation between the server that offers a service, and the client that consumes it.Stateless: Each request from a client must contain all the information required by the server to carry out the request. What is a RESTful web service? The REST architecture was originally designed to fit the HTTP protocol that the world wide web uses. Central to the concept of RESTful web services is the notion of resources. The HTTP request methods are typically designed to affect a given resource in standard ways:
The Flask Mega-Tutorial, Part I: Hello, World!
This is the first article in a series where I will be documenting my experience writing web applications in Python using the Flask microframework.

NOTE: This article was revised in September 2014 to be in sync with current versions of Python and Flask. Here is an index of all the articles in the series that have been published to date: My background I'm a software engineer with double digit years of experience developing complex applications in several languages.
Install Python 2.7, virtualenv and virtualenvwrapper on OS X. This post explains how to install a clean version of Python in a Mac OS X Mavericks/Yosemite. You’ll also learn to install and use the virtualenv and virtualenvwrapper tools to create virtual environments for your projects.

Install Xcode and Homebrew First of all, install Xcode if you don’t have it already. You can find it in the Apple Store. Next, we need to install the Command Line Tools of Xcode. This should trigger a pop-up window that will ask you to install the Command Line Tools. Next, we need to install Homebrew. .
$ ruby -e "$(curl -fsSL Note: The previous line updates often, so you may want to check the official site for the updated command line –> Homebrew. Now, we need to insert the Homebrew directory at the top of the PATH environment variable.